Simmering in the Soviet pot: language heterogeneity in early Soviet socio-linguistics

At the beginning of the ’30s—the period of lively debates on the relation between language and society—one of the main issues in linguistics was language heterogeneity. On the example of the texts by Boris Larin, Georgij Danilov and Lev Jakubinskij we shall compare two attitudes about unity and division of a language. If the studies by Larin and Danilov in various ways establish divisions in society and language at the end of the ’20s, in the ’30s there is a marked tendency to recognize language unity and the cohesiveness of the proletarian society, as seen in socio-linguistic analyses by Jakubinskij. The conclusion, suggested at the end of this exposition, claims that the idea of one national language grows in importance in the discourse of the Soviet linguistics at the beginning of 1930s. Disappearance of the contemporary language heterogeneity in the discourse of Soviet linguists of the period corroborates how linguistics adapts to the political conceptions of society.

Acculturation models of immigrant Soviet adolescents in Israel

This study probed acculturation in Israel of immigrant students from the former U.S.S.R. from the perception of the host society and the students. The finding from a questionnaire distributed to Israeli-born and immigrant students indicated that most but not all of the Israel-born students applied an assimilatory model while the immigrants were split between those who accepted the Israeli students and those who resisted them. Thus, ethnic relation typologies and critical sociology of education concepts can explain only part of the immigrants' attitudes. It was found that both the host society and the immigrants have different attitudes toward the culture of the other, and thus use different acculturation strategies.     

The role of causal models in analogical inference

Computational models of analogy have assumed that the strength of an inductive inference about the target is based directly on similarity of the analogs and in particular on shared higher order relations. In contrast, work in philosophy of science suggests that analogical inference is also guided by causal models of the source and target. In 3 experiments, the authors explored the possibility that people may use causal models to assess the strength of analogical inferences. Experiments 1-2 showed that reducing analogical overlap by eliminating a shared causal relation (a preventive cause present in the source) from the target increased inductive strength even though it decreased similarity of the analogs. These findings were extended in Experiment 3 to cross-domain analogical inferences based on correspondences between higher order causal relations. Analogical inference appears to be mediated by building and then running a causal model. The implications of the present findings for theories of both analogy and causal inference are discussed.     

The role of novelty in early word learning

What mechanism implements the mutual exclusivity bias to map novel labels to objects without names? Prominent theoretical accounts of mutual exclusivity (e.g., Markman, 1989, 1990 ) propose that infants are guided by their knowledge of object names. However, the mutual exclusivity constraint could be implemented via monitoring of object novelty (see Merriman, Marazita, & Jarvis, 1995 ). We sought to discriminate between these contrasting explanations across two preferential looking experiments with 22‐month‐olds. In Experiment 1, infants viewed three objects: one name‐known, two name‐unknown. Of the two name‐unknown objects, one was novel, and the other had been previously familiarized. The infants responded to hearing a novel label by increasing attention only to the novel, name‐unknown object. In a second experiment in which the name‐known object was absent, a novel label increased infants’ attention to a novel object beyond baseline preference for novelty. The experiments provide clear evidence for a novelty‐based mechanism. However, differences in the time course of disambiguation across experiments suggest that novelty processing may be influenced by contextual factors.     

The role of social cognition in early trust

Language serves as a means of learning from other people. However, communication systems allow the truth to be disguised, whether out of ignorance, fear, deviousness or mistaken judgment. Recent research has explored the extent to which young children are selective in whom they trust for information and the mechanisms that support such selectivity.     

The mediating role of parental expectations in culture and well-being

In two studies, we examined the role of perceived fulfillment of parental expectations in the subjective well-being of college students. In Study 1, we found that American college students reported having higher levels of life satisfaction and self-esteem than did Japanese college students. American college students also reported having fulfilled parental expectations to a greater degree than did Japanese college students. Most importantly, the cultural difference in well-being was mediated by perceived fulfillment of parental expectations. In Study 2, we replicated the mediational finding with Asian American and European American college students. Asian American participants also perceived their parents' expectations about their academic performance to be more specific than did European Americans, which was associated with the cultural difference in perceived fulfillment of parental expectations. In short, perceived parental expectations play an important role in the cultural difference in the well-being of Asians and European Americans.     

The role of causal models in multiple judgments under uncertainty

Two studies examined a novel prediction of the causal Bayes net approach to judgments under uncertainty, namely that causal knowledge affects the interpretation of statistical evidence obtained over multiple observations. Participants estimated the conditional probability of an uncertain event (breast cancer) given information about the base rate, hit rate (probability of a positive mammogram given cancer) and false positive rate (probability of a positive mammogram in the absence of cancer). Conditional probability estimates were made after observing one or two positive mammograms. Participants exhibited a causal stability effect: there was a smaller increase in estimates of the probability of cancer over multiple positive mammograms when a causal explanation of false positives was provided. This was the case when the judgments were made by different participants (Experiment 1) or by the same participants (Experiment 2). These results show that identical patterns of observed events can lead to different estimates of event probability depending on beliefs about the generative causes of the observations.     

The proper role of clusters in mathematical models of continuous recall

Previous research has shown that the number of words cumulatively recalled (N) at time (t) is a negatively accelerated function that reaches an asymptote as t → ∞. Research has also shown that the increase in N with t occurs in bursts or clusters. Several models purport to account for this cumulative recall curve in terms of cluster characteristics. The present research shows that previous models have not in fact successfully linked continuous recall to cluster characteristics. This research demonstrates that cluster models need to employ three empirical characteristics of clusters: T_b, the time between clusters; T_w, the average time between words within a cluster; and W_c, the number of words within a cluster. It is shown that these three quantities determine the cumulative recall curve, and these three quantities may in turn be characterized by four parameters. Of these four parameters, only three actually characterize the cumulative recall curve. Two parameters determine the initial slope and final asymptote of the curve, while a third parameter, which we introduce for the first time, characterizes the curve's shape. This latter parameter may be interpreted as the ratio ofthe time spent in retrieving and discarding a cluster that has been previously recalled to the amount of time spent in retrieving and outputting a newly encountered cluster. It is pointed out that previous success in fitting the cumulative recall data with a two-parameter function may be explained by the fact that this parameter lies in a restricted range about unity. Further experimental work is suggested to elucidate the behavior of this new parameter. Two models are then proposed to account for these characteristics of clusters and the shape of the recall curve.     

The role of memory and integration in early time concepts

The nature of 5- to 8-year-old childrens ' time concepts was examined by analyzing two possible explanations for the greater difficulty children demonstrate in comparing durations that differ in beginning times as compared to those that differ in ending times. The explanations were (a) poor recall of beginnings as compared to endings due to their lower salience, (b) difficulty in integrating information from both points and reliance on endings only due to their greater salience. The subjects were 630 boys and girls from kindergarten to second grade. The children were presented with a series of two lights in different orders and combinations and were asked to compare order of beginnings and endings, and duration of the two lights. Results contradicted the memory explanation. In addition, repetitious questioning about order of one point (beginning or ending) appeared to have shifted children's attention from that point to the complementary point. Possible sources of children's failure to integrate beginning and end points when comparing durations were discussed.     

The role of person and object in eliciting early imitation

The role of person and object in eliciting early imitation was examined in this study. Twenty-seven infants, between 5 and 8 weeks old were assigned randomly to two conditions. In the person condition (N = 12) they were presented with tongue protrusions and mouth openings modeled by an adult, whereas in the object condition (N = 15) they were presented with these gestures simulated by two objects. Two infant behaviors were coded; mouth openings and tongue protrusions. Infants in the person condition selectively reproduced the mouth open and tongue protrusion gestures at significant levels, infants in the object condition did not. Instead of reproducing the congruent gestures (mouth openings and tongue protrusions when they were modeled) infants in the object condition reproduced the incongruent gestures at significant levels. Together, the findings indicate that imitation is a social response, which has implications for the development of nonverbal communication and speech.     

The role of exposure to isolated words in early vocabulary development

Fluent speech contains no known acoustic analog of the blank spaces between printed words. Early research presumed that word learning is driven primarily by exposure to isolated words. In the last decade there has been a shift to the view that exposure to isolated words is unreliable and plays little if any role in early word learning. This study revisits the role of isolated words. The results show (a) that isolated words are a reliable feature of speech to infants, (b) that they include a variety of word types, many of which are repeated in close temporal proximity, (c) that a substantial fraction of the words infants produce are words that mothers speak in isolation, and (d) that the frequency with which a child hears a word in isolation predicts whether that word will be learned better than the child's total frequency of exposure to that word. Thus, exposure to isolated words may significantly facilitate vocabulary development at its earliest stages.     

The role of social cognition models in predicting attendance at health checks

Abstract

The present study sought to apply the Health Belief Model and the Theory of Planned Behaviour to the prediction of attendance at health checks. In addition, the way in which patients were invited to the health checks and the effect this had on both the uptake of the service and the role of cognitive factors in predicting attendance was analysed. Based in a single general practice, 818 patients were either sent an invitation letter which included an appointment time or they were sent an open invitation to contact the practice to make their own appointment time. Prior to the commencement of the programme health belief questionnaires were sent to patients. The results of the study firstly showed that letters offering patients an appointment produced a much higher attendance rate (70%) than letters containing an open invitation (37%). Secondly, through stepwise discriminant function analyses, the predictors of attendance behaviour were found to vary according to how patients were invited. For patients sent an appointment, attenders were found to be more likely than non-attenders to place a high value on their health, to believe that their health is influenced by powerful others, that certain referent groups would advise them to attend, that attending would lead to positive outcomes and that motivational barriers would not prevent them from attending. For patients sent an open invitation, intention to attend and perceived control were found to be independent predictors of attendance behaviour. These results suggest that attendance at health checks may not be a homogeneous behaviour such that the beliefs which distinguish attenders and non-attenders may be seen to vary according to the way in which the service is offered.     

The role of coding time in estimating and interpreting growth curve models

The coding of time in growth curve models has important implications for the interpretation of the resulting model that are sometimes not transparent. The authors develop a general framework that includes predictors of growth curve components to illustrate how parameter estimates and their standard errors are exactly determined as a function of receding time in growth curve models. Linear and quadratic growth model examples are provided, and the interpretation of estimates given a particular coding of time is illustrated. How and why the precision and statistical power of predictors of lower order growth curve components changes over time is illustrated and discussed. Recommendations include coding time to produce readily interpretable estimates and graphing lower order effects across time with appropriate confidence intervals to help illustrate and understand the growth process.